What the author is saying in practice is: it's nice to have Meta level funding for effectively infinite distributed storage and compute. In other areas of the industry where you want to stay profitable, metrics stay metrics, because you're submitting 2 integers for an aggregate, rather than tens of megabytes of JSON logs per minute. Then you want to retrieve this in seconds on demand... so that's either preprocessing (ongoing compute) or some serious parallel IO.

I'm glad the author likes wide events for everything. I do too. But once you try to justify the cost, you understand why it's metrics, logs and (often sampled) traces.